US10078139B2 - Device and method for tracking compliance information of a rider - Google Patents

Device and method for tracking compliance information of a rider Download PDF

Info

Publication number
US10078139B2
US10078139B2 US15/056,357 US201615056357A US10078139B2 US 10078139 B2 US10078139 B2 US 10078139B2 US 201615056357 A US201615056357 A US 201615056357A US 10078139 B2 US10078139 B2 US 10078139B2
Authority
US
United States
Prior art keywords
rider
path
biometric
helmet
compliant
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active, expires
Application number
US15/056,357
Other languages
English (en)
Other versions
US20160274244A1 (en
Inventor
Jasbir Singh Dhaliwal
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HCL Technologies Ltd
Original Assignee
HCL Technologies Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HCL Technologies Ltd filed Critical HCL Technologies Ltd
Assigned to HCL TECHNOLOGIES LTD. reassignment HCL TECHNOLOGIES LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: DHALIWAL, JASBIR SINGH
Publication of US20160274244A1 publication Critical patent/US20160274244A1/en
Application granted granted Critical
Publication of US10078139B2 publication Critical patent/US10078139B2/en
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/428—Determining position using multipath or indirect path propagation signals in position determination
    • A—HUMAN NECESSITIES
    • A42—HEADWEAR
    • A42B—HATS; HEAD COVERINGS
    • A42B3/00—Helmets; Helmet covers ; Other protective head coverings
    • A42B3/04—Parts, details or accessories of helmets
    • A42B3/0406—Accessories for helmets
    • A42B3/0433—Detecting, signalling or lighting devices
    • A42B3/0466—Means for detecting that the user is wearing a helmet
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/24—Acquisition or tracking or demodulation of signals transmitted by the system
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/14—Receivers specially adapted for specific applications

Definitions

  • the present disclosure in general relates to the field tracking information. More particularly, the present disclosure relates to a device and method for tracking compliance information associated with a rider.
  • a helmet for tracking compliance information associated with a rider comprising a Global Positioning System (GPS) configured to trace a complete path covered by the rider. Further, the helmet comprises a set of biometric sensor configured to capture biometric sample of the rider at regular intervals, when the rider is in motion. Furthermore, the helmet comprises a data processing platform. The data processing platform maintains a database, wherein the database is configured to store a profile data associated with the rider, wherein the profile data includes biometric information and identity profile of the rider.
  • GPS Global Positioning System
  • the data processing platform enables a biometric data analysis module, wherein the biometric data analysis module is configured to classify the complete path into a compliant path and a non-compliant path by analyzing the biometric information and biometric samples captured by the set of biometric sensors. Further, the data processing platform enables a data transmission module.
  • the data transmission module is configured to transmit the compliant path and the non compliant path to a remote server.
  • the remote server may be accessed by the traffic authority and monitor the compliance level of each rider based on the compliant path and the non-compliant path covered by the rider.
  • a method for tracking compliance information associated with a rider using a helmet is disclosed.
  • a Global Positioning System (GPS) embedded in the helmet is configured to trace a complete path covered by the rider.
  • GPS Global Positioning System
  • a set of biometric sensor enabled over the helmet are configured to capture biometric sample of the rider at regular intervals, when the rider is in motion.
  • a profile data associated with the rider is stored in a database enabled by a data processing platform associated with the helmet, wherein the profile data includes biometric information and identity profile of the rider.
  • the complete path is classified into a compliant path and a non-compliant path by a biometric data analysis module, by analyze the biometric information and the biometric samples captured from the rider, wherein the biometric data analysis module is enabled by the data processing platform.
  • the compliant path and the non compliant path covered by the rider is transmitted to a remote server by a data transmission module that is enabled by the data processing platform.
  • the remote server may be accessed by the traffic authority and monitor the compliance level of each rider based on the compliant path and the non-compliant path covered by the rider.
  • FIG. 1 illustrates a network implementation of a helmet for gathering compliance information of a rider, in accordance with an embodiment of the present disclosure.
  • FIG. 2 illustrates the data processing system present in the helmet, in accordance with an embodiment of the present disclosure.
  • FIG. 3 illustrates a method for gathering compliance information of a rider, in accordance with an embodiment of the present disclosure.
  • FIG. 4 illustrates the helmet for monitoring compliance level of a rider, in accordance with an embodiment of the present disclosure.
  • the present disclosure relates to a helmet for tracking compliance information associated with a rider.
  • the helmet comprising a Global Positioning System (GPS), a set of biometric sensors, and a data processing platform.
  • GPS Global Positioning System
  • the GPS is configured to trace a complete path covered by the rider.
  • the set of biometric sensors are configured to capture biometric sample of the rider at regular intervals, when the rider is in motion.
  • the data processing platform maintains a database configured to store a profile data associated with the rider, wherein the profile data includes biometric information and identity profile of the rider.
  • the data processing platform enables a biometric data analysis module, wherein the biometric data analysis module is configured to classify the complete path into a compliant path and a non-compliant path by analyzing the biometric information and biometric samples captured from the rider. Further, the data processing platform enables a data transmission module.
  • the data transmission module is configured to transmit the compliant path and the non compliant path to a remote server.
  • the remote server may be accessed by the traffic authority and monitor the compliance level of each rider based on the compliant path and the non-compliant path covered by the rider.
  • the helmet 102 comprises a Global Positioning System 108 , a set of sensors 110 , a data processing platform 112 , and a battery or a solar panel (not shown) for operating the data processing platform 112 .
  • the data processing platform 112 is implemented as a software program over a embedded system present inside the helmet 102 , it may be understood that the embedded system may be installed in a vehicle of the rider and can communicate with the GPS 108 and the set of sensors 110 using communication channels such as Bluetooth, Wi-Fi, NFC, Infrared communication and the like.
  • the data processing system 112 may be accessed by multiple users such as traffic authority, traffic police, or highway police through one or more user devices 104 - 1 , 104 - 2 . . . 104 -N, collectively referred to as user devices 104 hereinafter, or applications residing on the user devices 104 .
  • Examples of the user devices 104 may include, but are not limited to, a portable computer, a personal digital assistant, a hand-held device, and a workstation.
  • the user devices 104 are communicatively coupled to the data processing system 112 through a network 106 .
  • the data processing system 112 is also connected to a remote server 114 through the network 106 .
  • the remote server 114 is configured to store historical compliance data associated with the riders.
  • the user devices 104 can be used by the traffic authority to access the historical compliance data of the riders, stored over the remote server 114 .
  • the network 106 may be a wireless network, a wired network or a combination thereof.
  • the network 106 can be implemented as one of the different types of networks, such as intranet, local area network (LAN), wide area network (WAN), the internet, and the like.
  • the network 106 may either be a dedicated network or a shared network.
  • the shared network represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like, to communicate with one another.
  • the network 106 may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, and the like.
  • the data processing system 112 may include at least one processor 202 , an input/output (I/O) interface 204 , and a memory 206 .
  • the at least one processor 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions.
  • the at least one processor 202 is configured to fetch and execute computer-readable instructions stored in the memory 206 .
  • the I/O interface 204 may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like.
  • the I/O interface 204 may allow the data processing system 112 to interact with a user directly or through the user devices 104 . Further, the I/O interface 204 may enable the data processing system 112 to communicate with other computing devices, such as the remote server 114 , web servers and external data servers (not shown).
  • the I/O interface 204 may facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite.
  • the I/O interface 204 may include one or more ports for connecting a number of devices to one another or to another server.
  • the memory 206 may include any computer-readable medium known in the art including, for example, volatile memory, such as static random access memory (SRAM) and dynamic random access memory (DRAM), and/or non-volatile memory, such as read only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes.
  • volatile memory such as static random access memory (SRAM) and dynamic random access memory (DRAM)
  • non-volatile memory such as read only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes.
  • ROM read only memory
  • erasable programmable ROM erasable programmable ROM
  • the modules 208 include routines, programs, objects, components, data structures, etc., which perform particular tasks or implement particular abstract data types.
  • the modules 208 may include a reception module 210 , a displaying module 212 , a biometric data analysis module 214 , a report generation module 216 , a data transmission module 218 , and other modules 220 .
  • the other modules 220 may include programs or coded instructions that supplement applications and functions of the data processing system 112 .
  • the system data 222 serves as a repository for storing data processed, received, and generated by one or more of the modules 208 .
  • the system data 222 may also include a database 224 and other data 226 .
  • the other data 226 may include data generated as a result of the execution of one or more modules in the other modules 220 .
  • the database 224 is configured to store a profile data associated with the rider, wherein the profile data includes biometric information and identity profile of the rider.
  • the identity profile of the rider includes a license number, name, and address of the rider.
  • the biometric information includes at least one retina image captured from the rider.
  • the at least one retina image may be stored in an encrypted form in order to remove the possibility of any tampering by the rider.
  • the process of tracking the compliance information associated with the rider starts with identifying whether the rider is in motion.
  • the data processing system 112 interacts with the GPS 108 and identifies whether the rider is in motion. If the rider is in motion, the data processing system 112 signals the GPS 108 to trace the path travelled by the rider. The entire path travelled by the rider is hereafter referred to as complete path. Further, when the rider is in motion, the data processing system 112 also signals the set of biometric sensors 110 to capture biometric samples at regular intervals and transmit these biometric samples to biometric data analysis module 214 .
  • the set of biometric sensors 110 is a pair of cameras fitted inside the helmet 102 and is configured to capture biometric samples at regular interval.
  • the pair of cameras is installed in the helmet such that the pair of cameras can accurately capture biometric samples in the form of retina images of the rider at regular intervals when the rider is wearing the helmet. If the rider is not wearing the helmet, then the pair of cameras will not capture the retina images of the rider. In other words, whenever the rider is wearing the helmet, the pair of camera is focused on the eyes of the rider, hence the pair of cameras capture the retina images of the rider after each interval. On the contrary, whenever the rider is not wearing the helmet, the pair of cameras is not focused on the eyes of the rider and will not capture the retina images of the rider after each interval, since eyes are not present in the focus of the pair of cameras.
  • the biometric data analysis module 214 compares the retina images captured after each interval with the biometric information that is stored in the database 224 . If the biometric data analysis module 214 identifies that there is a perfect match between the retina images captured after and before an interval and the at least one retina image stored in the biometric information associated with the rider, then the path covered by the rider in this interval is identified as a compliant path. Further, the path covered by the rider in an interval is identified as a non-compliant path if there is no match identified between the retina images captured before and after the interval and the at least one retina image stored in the biometric information.
  • the complete path travelled by the rider is divided into small segments called as intervals and classified as compliant interval and non compliant interval. All the compliant intervals identified from the complete path are clubbed together as a compliant path, whereas all the non compliant intervals identified from the complete path are clubbed together as a non compliant path.
  • the compliant path is indicative of path covered by the rider while wearing the helmet and the non compliant path is indicative of a path covered by the rider without wearing the helmet.
  • This information is stored by the data processing system 112 in the database 224 . Further, the report generation module 216 of the data processing system 112 is configured to generate compliance reports of the rider based on the information associated with the compliant path and non-compliant path covered by the rider.
  • the data transmission module is configured to transmit the reports generated by the compliance report generation module 216 to the remote server 114 .
  • traffic authority may use the client devices 104 to access the compliance reports stored at the remote server 114 .
  • compliance reports associated with different riders can be gathered and stored at the remote server 114 which may then be used by the traffic authority to charge fine or reword the riders based on their compliance reports.
  • the method for capturing compliance information associated with the rider is elaborated with reference to the flowchart of FIG. 3 .
  • FIG. 3 represents a method for tracing compliance information associated with a rider.
  • the GPS 108 is configured to determine whether the rider is in motion.
  • the data processing system 112 interacts with the GPS 108 and identifies whether the rider is in motion.
  • the data processing system 112 signals the GPS 108 to trace the path travelled by the rider.
  • the entire path travelled by the rider is hereafter referred to as complete path.
  • the data processing system 112 signals the set of biometric sensors 110 to capture biometric samples at regular intervals and transmit these biometric samples to biometric data analysis module 214 .
  • the set of biometric sensors 110 is a pair of cameras fitted inside the helmet 102 and is configured to capture biometric samples at regular interval. The pair of cameras is installed in the helmet such that the pair of cameras can accurately capture biometric samples in the form of retina images of the rider at regular intervals when the rider is wearing the helmet. If the rider is not wearing the helmet, then the pair of cameras will not capture the retina images of the rider.
  • the biometric data analysis module 214 compares the retina images captured before and after each interval with the biometric information that is stored in the database 224 .
  • the biometric data analysis module 214 identifies whether the path covered by the rider in each interval is a compliant path or a non compliant path. For this purpose, if the biometric data analysis module 214 identifies that there is a perfect match between the retina images captured after and before an interval and the at least one retina image stored in the biometric information associated with the rider, then the path covered by the rider in this interval is identified as a compliant path. Further, the path covered by the rider in an interval is identified as a non-compliant path if there is no match identified between the retina images captured before and after the interval and the at least one retina image stored in the biometric information. In a similar manner, the complete path travelled by the rider is divided into small segments called as intervals and classified as compliant interval and non compliant interval.
  • step 312 all the compliant intervals identified from the complete path are clubbed together as a compliant path, whereas all the non compliant intervals identified from the complete path are clubbed together as a non compliant path.
  • the compliant path is indicative of path covered by the rider while wearing the helmet and the non compliant path is indicative of a path covered by the rider without wearing the helmet.
  • the information associated with the compliant path and non compliant path is stored by the data processing system 112 in the database 224 .
  • the report generation module 216 of the data processing system 112 is configured to generate compliance reports of the rider based on the information associated with the compliant path and non-compliant path covered by the rider.
  • the data transmission module 218 is configured to transmit the compliance reports generated by the compliance report generation module 216 to the remote server 114 .
  • compliance reports associated with different riders can be gathered and stored at the remote server 114 which may then be used by the traffic authority to charge fine or reword the riders based on their compliance reports.
  • the compliance reports may be generated on the bases of weekly, monthly noncompliance trends, list of repeat offenders etc.
  • the data processing unit 112 captures the compliance information in real time and alerts the traffic authority about the noncompliance of the rider and the duration for which the rider was driving without wearing the helmet 102 .
  • FIG. 4 represent the helmet 102 for monitoring compliance level of a rider, in accordance with an embodiment of the present invention.
  • the helmet comprising a Global Positioning System (GPS) 108 configured to trace a complete path covered by the rider.
  • GPS Global Positioning System
  • the helmet 102 comprises of two cameras 110 a and 110 b positioned in such a manner so as to capture biometric sample in the form of retina images on regular intervals. These cameras 110 a and 110 b are connected to a data processing system 112 present in the helmet.
  • the biometric data analysis module present in the data processing system 112 is configured to compare the images received from cameras 110 a and 110 b with those present in the database. If there is a match then the data processing system 112 records the path covered by the user as a compliant path.
  • the path covered by the user is recorded as non compliant path.
  • This information is transmitted using SIM embedded inside the helmet to send the data in real time to the remote server.
  • the remote server can then issue notifications to the concerned patrol parties, traffic police to take suitable actions against offenders/rider.
  • profile data associated with more than one rider can be stored over the database 224 .
  • the helmet 102 is equipped with a rotary switch (not shown) to switch between the multiple rider profiles to enable the use of same helmet among multiple motorists.

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Alarm Systems (AREA)
US15/056,357 2015-03-19 2016-02-29 Device and method for tracking compliance information of a rider Active 2036-05-14 US10078139B2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN754DE2015 IN2015DE00754A (enrdf_load_stackoverflow) 2015-03-19 2015-03-19
IN754/DEL/2015 2015-03-19

Publications (2)

Publication Number Publication Date
US20160274244A1 US20160274244A1 (en) 2016-09-22
US10078139B2 true US10078139B2 (en) 2018-09-18

Family

ID=54394219

Family Applications (1)

Application Number Title Priority Date Filing Date
US15/056,357 Active 2036-05-14 US10078139B2 (en) 2015-03-19 2016-02-29 Device and method for tracking compliance information of a rider

Country Status (2)

Country Link
US (1) US10078139B2 (enrdf_load_stackoverflow)
IN (1) IN2015DE00754A (enrdf_load_stackoverflow)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110807904A (zh) * 2019-11-07 2020-02-18 国家电网有限公司 一种基于北斗卫星的应急救援指挥系统
IT202000026389A1 (it) 2020-11-05 2022-05-05 Meta Wellness Srl Casco intelligente per la protezione di persone

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20170036428A (ko) * 2015-09-24 2017-04-03 삼성전자주식회사 웨어러블 디바이스를 이용한 운전자 모니터링 방법 및 장치
US10088911B2 (en) * 2016-12-30 2018-10-02 Manuel Saez Programmable electronic helmet
JP6534430B2 (ja) 2017-09-29 2019-06-26 本田技研工業株式会社 鞍乗り型車両
EP4278919A1 (en) * 2022-05-19 2023-11-22 Giesecke+Devrient ePayments GmbH Esim-based secure smart helmet

Citations (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5294914A (en) * 1993-02-24 1994-03-15 Dallas Robert S Vehicle helmet warning system
US6029102A (en) * 1997-07-01 2000-02-22 Elsman; James L. Driver control display system for a vehicle
US20020070881A1 (en) * 2000-10-12 2002-06-13 Marcarelli Louis G. User tracking application
US20030071766A1 (en) * 2001-10-16 2003-04-17 Hartwell Peter G. Smart helmet
US20030197608A1 (en) * 2002-03-13 2003-10-23 Joachim Rudhard Person-individual emergency recognition system
US6810480B1 (en) 2002-10-21 2004-10-26 Sprint Communications Company L.P. Verification of identity and continued presence of computer users
US20070245465A1 (en) * 2006-04-05 2007-10-25 Gary Neal Emergency information system for safety helmets
US20100095439A1 (en) * 2008-10-16 2010-04-22 HaberVision LLC Actively ventilated helmet systems and methods
US20100102970A1 (en) * 2007-03-07 2010-04-29 Cecilia Hertz System for detecting an accident
US20100298683A1 (en) * 2008-09-17 2010-11-25 Deltin Corporation, A California Corporation Physiological monitoring devices and methods
US20110099031A1 (en) * 2009-10-28 2011-04-28 Nair Deepthi S Real time capture and communication of in-transit patient medical information
US20120188083A1 (en) * 2011-01-20 2012-07-26 At&T Intellectual Property I, L.P. Wireless monitoring of safety helmets
US20130057391A1 (en) * 2010-05-14 2013-03-07 Advanced Microwave Engineering S.R.L Integrated modular active safety system based on active dual-frequency rfid devices
US20130201081A1 (en) * 2012-02-06 2013-08-08 Battelle Memorial Institute Image generation systems and image generation methods
CN203243996U (zh) 2013-05-13 2013-10-23 中国十七冶集团有限公司 一种安全帽
CN203318625U (zh) 2013-06-22 2013-12-04 姚玉婷 一种自动启动机动车的头盔点火系统
US20140000013A1 (en) * 2012-06-28 2014-01-02 Revision Military S.A.R.L. Helmet configured for electronics
US20140167986A1 (en) * 2012-12-18 2014-06-19 Nokia Corporation Helmet-based navigation notifications
CN203723505U (zh) 2014-03-04 2014-07-23 张启砚 一种防酒驾强制型安全头盔
US20150088431A1 (en) * 2013-09-21 2015-03-26 Leo Technologies, Inc. Dynamic profiles
US20150097772A1 (en) * 2012-01-06 2015-04-09 Thad Eugene Starner Gaze Signal Based on Physical Characteristics of the Eye
US20150156567A1 (en) * 2013-11-29 2015-06-04 Ian James Oliver Human activity reporting system
US20160007849A1 (en) * 2014-07-08 2016-01-14 Krueger Wesley W O Systems and methods for the measurement of vestibulo-ocular reflex to improve human performance in an occupational environment
US20160044276A1 (en) * 2014-08-08 2016-02-11 Fusar Technologies, Inc. Helmet system and methods
US20160073722A1 (en) * 2014-09-11 2016-03-17 Katelyn Eustace Systems and Methods for Communicating Helmet Usage Information During Operation of an Activity Device
US20160206033A1 (en) * 2015-01-20 2016-07-21 Elwha Llc Systems and methods for helmet liner evaluation
US20160223577A1 (en) * 2015-01-30 2016-08-04 Vision Service Plan Systems and methods for tracking motion of a bicycle or other vehicles
US20160248995A1 (en) * 2015-02-19 2016-08-25 Daqri, Llc System and method for using millimeter wave in a wearable device
US20170039960A1 (en) * 2015-08-03 2017-02-09 Oculus Vr, Llc Ocular Projection Based on Pupil Position
US20170092232A1 (en) * 2015-09-30 2017-03-30 Brian Mullins Optical true time delay circuit in a head-mounted display

Patent Citations (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5294914A (en) * 1993-02-24 1994-03-15 Dallas Robert S Vehicle helmet warning system
US6029102A (en) * 1997-07-01 2000-02-22 Elsman; James L. Driver control display system for a vehicle
US20020070881A1 (en) * 2000-10-12 2002-06-13 Marcarelli Louis G. User tracking application
US20030071766A1 (en) * 2001-10-16 2003-04-17 Hartwell Peter G. Smart helmet
US20030197608A1 (en) * 2002-03-13 2003-10-23 Joachim Rudhard Person-individual emergency recognition system
US6810480B1 (en) 2002-10-21 2004-10-26 Sprint Communications Company L.P. Verification of identity and continued presence of computer users
US20070245465A1 (en) * 2006-04-05 2007-10-25 Gary Neal Emergency information system for safety helmets
US20100102970A1 (en) * 2007-03-07 2010-04-29 Cecilia Hertz System for detecting an accident
US20100298683A1 (en) * 2008-09-17 2010-11-25 Deltin Corporation, A California Corporation Physiological monitoring devices and methods
US20100095439A1 (en) * 2008-10-16 2010-04-22 HaberVision LLC Actively ventilated helmet systems and methods
US20110099031A1 (en) * 2009-10-28 2011-04-28 Nair Deepthi S Real time capture and communication of in-transit patient medical information
US20130057391A1 (en) * 2010-05-14 2013-03-07 Advanced Microwave Engineering S.R.L Integrated modular active safety system based on active dual-frequency rfid devices
US20120188083A1 (en) * 2011-01-20 2012-07-26 At&T Intellectual Property I, L.P. Wireless monitoring of safety helmets
US20150097772A1 (en) * 2012-01-06 2015-04-09 Thad Eugene Starner Gaze Signal Based on Physical Characteristics of the Eye
US20130201081A1 (en) * 2012-02-06 2013-08-08 Battelle Memorial Institute Image generation systems and image generation methods
US20140000013A1 (en) * 2012-06-28 2014-01-02 Revision Military S.A.R.L. Helmet configured for electronics
US20140167986A1 (en) * 2012-12-18 2014-06-19 Nokia Corporation Helmet-based navigation notifications
US9146124B2 (en) 2012-12-18 2015-09-29 Nokia Technologies Oy Helmet-based navigation notifications
CN203243996U (zh) 2013-05-13 2013-10-23 中国十七冶集团有限公司 一种安全帽
CN203318625U (zh) 2013-06-22 2013-12-04 姚玉婷 一种自动启动机动车的头盔点火系统
US20150088431A1 (en) * 2013-09-21 2015-03-26 Leo Technologies, Inc. Dynamic profiles
US20150156567A1 (en) * 2013-11-29 2015-06-04 Ian James Oliver Human activity reporting system
CN203723505U (zh) 2014-03-04 2014-07-23 张启砚 一种防酒驾强制型安全头盔
US20160007849A1 (en) * 2014-07-08 2016-01-14 Krueger Wesley W O Systems and methods for the measurement of vestibulo-ocular reflex to improve human performance in an occupational environment
US20160044276A1 (en) * 2014-08-08 2016-02-11 Fusar Technologies, Inc. Helmet system and methods
US20160073722A1 (en) * 2014-09-11 2016-03-17 Katelyn Eustace Systems and Methods for Communicating Helmet Usage Information During Operation of an Activity Device
US9427039B2 (en) * 2014-09-11 2016-08-30 Katelyn Eustace Systems and methods for communicating helmet usage information during operation of an activity device
US20160206033A1 (en) * 2015-01-20 2016-07-21 Elwha Llc Systems and methods for helmet liner evaluation
US20160223577A1 (en) * 2015-01-30 2016-08-04 Vision Service Plan Systems and methods for tracking motion of a bicycle or other vehicles
US20160248995A1 (en) * 2015-02-19 2016-08-25 Daqri, Llc System and method for using millimeter wave in a wearable device
US20170039960A1 (en) * 2015-08-03 2017-02-09 Oculus Vr, Llc Ocular Projection Based on Pupil Position
US20170092232A1 (en) * 2015-09-30 2017-03-30 Brian Mullins Optical true time delay circuit in a head-mounted display

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Amitava Das et al, Smart Helmet for Indian Bike Riders, International Journal of Advances in Science Engineering and Technology, Oct. 2014, p. No. 54-56, vol. 2, Issue-4, India.
Manjesh N & Sudarshan Raj, Smart Helmet Using GSM &GPS Technology for Accident Detection and Reporting System, International Journal of Electrical and Electronics Research, Dec. 2014, p. No. 122-127, vol. 2, Issue 4, India.

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110807904A (zh) * 2019-11-07 2020-02-18 国家电网有限公司 一种基于北斗卫星的应急救援指挥系统
IT202000026389A1 (it) 2020-11-05 2022-05-05 Meta Wellness Srl Casco intelligente per la protezione di persone

Also Published As

Publication number Publication date
US20160274244A1 (en) 2016-09-22
IN2015DE00754A (enrdf_load_stackoverflow) 2015-04-03

Similar Documents

Publication Publication Date Title
US10078139B2 (en) Device and method for tracking compliance information of a rider
CN111414873B (zh) 基于安全帽佩戴状态的告警提示方法、装置和告警系统
Streiffer et al. Darnet: A deep learning solution for distracted driving detection
US20180211115A1 (en) Total Property Intelligence System
WO2020024447A1 (zh) 交通事故的处理方法、装置及计算机可读存储介质
WO2022078353A1 (zh) 车辆行使状态判断方法、装置、计算机设备及存储介质
CN111079731A (zh) 基于安全帽识别监控系统的配置系统、方法、设备及介质
KR102344435B1 (ko) 인공 지능을 이용한 관제 서비스 시스템
CN108230669B (zh) 基于大数据和云分析的道路车辆违法检测方法及系统
CN118368392A (zh) 摄像头的远程监控方法、装置、设备及存储介质
Christensen et al. Towards a distraction-free waze
US20240163402A1 (en) System, apparatus, and method of surveillance
CN110533906B (zh) 一种路况信息的获取方法及相关装置
Iorliam Cybersecurity in Nigeria: A case study of surveillance and prevention of digital crime
US12327390B2 (en) Real time local filtering of on-screen images
US12243306B1 (en) System, method, and device to proactively detect in real time one or more threats in crowded areas
US12175745B2 (en) Covert spying device detector
CN111291597B (zh) 一种基于图像的人群态势分析方法、装置、设备及系统
CN110544194A (zh) 一种融合卡口人车码信息采集前端用追踪标记系统
CN114125372B (zh) 视频监控方法、装置、设备及存储介质
CN114143497B (zh) 市政管理对象的状态监测方法、装置、系统及存储介质
US10198773B2 (en) Cooperative evidence gathering
CN115205838A (zh) 一种车辆监测方法、装置、系统及可读存储介质
CN106162059A (zh) 一种视频监控报警方法和系统
Tin et al. Classifying Time-Series of IoT Flow Activity using Deep Learning and Intransitive Features

Legal Events

Date Code Title Description
AS Assignment

Owner name: HCL TECHNOLOGIES LTD., INDIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:DHALIWAL, JASBIR SINGH;REEL/FRAME:037853/0654

Effective date: 20150319

STCF Information on status: patent grant

Free format text: PATENTED CASE

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 4